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About the Role

This is an exceptional, hands-on, player/coach opportunity to establish, shape, and lead our Data Science capability in the United States. As the Data Science Team Leader, you will be a critical part of our expanding global data organization. You will remain deeply technical and actively involved in writing code, building models, and executing machine learning solutions, while simultaneously mentoring and growing a high-performing team of US-based Data Scientists and Machine Learning Engineers. We are intentionally recruiting for a specific kind of professional: someone with a startup mindset who thrives in fast-paced environments, possesses a strong bias for action, and values execution over theoretical complexity. To succeed, you must be a pragmatic problem solver who enjoys getting your hands dirty while building scalable, production-grade solutions.

Responsibilities

Devise, code, and deploy AI, machine learning, and predictive models, leading by example in technical execution and code quality.
Build, mentor, and guide a pragmatic, delivery-focused team of Junior Data Scientists and Machine Learning Engineers, fostering a culture of rapid iteration, continuous learning, and software engineering discipline.
Partner closely with the Data Team Lead, Data Product Lead, and AgentOps Team Lead to align data science initiatives with product roadmaps and platform capabilities.
Collaborate regularly with the UK-based Data Science team to share methodology, align on standards, and leverage global technical capabilities.
Translate complex, ambiguous business questions into clear data science initiatives, delivering measurable business value through rapid prototyping and deployment cycles.
Collaborate with Machine Learning Engineers to champion the adoption of robust MLOps practices on our Google Cloud Platform (GCP) stack, ensuring models are automated, monitored, and scalable.
Establish data science workflows, standards, and code repositories from scratch in a new regional office.
Work as a key collaborative partner alongside the US Data Team Lead, Data Product Lead, and AgentOps Team Lead within the wider US Data team.
Maintain strong operational alignment and knowledge sharing with the established UK-based Data Science team.

Requirements

Proven experience working in a fast-paced, agile, or startup-like environment.
Demonstrated passion for getting things done and delivering value iteratively.
Prior experience mentoring, coaching, or leading data scientists or engineers while remaining active in code development.
Strong track record of designing, building, deploying, and maintaining machine learning models in production environments.

Skills

Superior communication skills.
Ability to build strong cross-functional relationships.
Ability to translate technical concepts into business outcomes for both technical and non-technical audiences.
Exceptional programming skills in Python.
Deep expertise in data science libraries (Scikit-learn, Pandas, NumPy, XGBoost, etc.).
Advanced SQL proficiency for querying and manipulating large datasets.
Proficiency with Google BigQuery.
Hands-on experience with Google Cloud Platform (GCP).
Experience with Vertex AI ecosystem (Pipelines, Workbench, Endpoints).
Familiarity with containerization (Docker, Kubernetes).
Familiarity with CI/CD principles for machine learning.
Experience with real-time stream processing or event-driven architectures (e.g., Kafka).

Location

Colorado
United States

Work Type

Hybrid
Full Time

Experience Level

Equivalent practical industry experience

Education Level

MSc in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering)
PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering)

Salary/Compensations

up to USD 180000 - yearly

About the Company

One of the world's leading online gambling companies, revolutionising the industry since 2000.
Founded by Denise Coates CBE.
Employs over 9,000 people and serves over 100 million customers in 27 languages.
Focus on In-Play betting has solidified market-leading position.
Offers an unmatched experience across 96 sports and 700,000 streaming events.
Handles over 750 concurrent sporting fixtures at peak.
Streams more live sports than anyone else in Europe.
Handles over 6 billion HTTP requests daily.
Processes more than 2 million bets per hour at peak.
Empowers employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity.
Offers employees wealth of opportunities for growth and impact in online gambling.
Forward-thinking company breaking new ground in software innovation, redefining what’s possible for customers worldwide.

Equal Opportunity

Provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.